Flow Sensing with Pressure Sensor-Based Artificial Lateral Lines: from the Laboratory to the Field. Veevoolu tajumine rõhusensoritel baseeruvate küljejooneanduritega: laborist välikatseteni
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[1] R. C. Pankhurst,et al. The Measurement of Air Flow , 1928, Nature.
[2] K Hilding Beij. Aircraft Speed Instruments , 1933 .
[3] A. H. Glaser. The Pitot cylinder as a static pressure probe in turbulent flow , 1952 .
[4] S. Dijkgraaf. THE FUNCTIONING and SIGNIFICANCE OF THE LATERAL‐LINE ORGANS , 1963, Biological reviews of the Cambridge Philosophical Society.
[5] G. Cavagna,et al. Pressure distribution on the body surface of swimming fish. , 1974, The Journal of experimental biology.
[6] T. Pitcher,et al. A blind fish can school. , 1976, Science.
[7] D. Lenschow,et al. The Use of Pressure Fluctuations on the Nose of an Aircraft for Measuring Air Motion , 1983 .
[8] J. Anderson,et al. Fundamentals of Aerodynamics , 1984 .
[9] T. M. Hammond,et al. Field and flume comparisons of the modified and standard (savonius-rotor) Aanderaa self-recording current meters , 1986 .
[10] J. Gray,et al. Mechanical Factors in the Excitation of the Lateral Lines of Fishes , 1988 .
[11] Michael S. Triantafyllou,et al. Efficient Foil Propulsion Through Vortex Control , 1996 .
[12] J. Montgomery,et al. The lateral line can mediate rheotaxis in fish , 1997, Nature.
[13] S. D. Fleischer,et al. Demonstration of a vision-based dead-reckoning system for navigation of an underwater vehicle , 1998, IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259).
[14] Hanumant Singh,et al. Towards Precision Robotic Maneuvering, Survey, and Manipulation in Unstructured Undersea Environments , 1998 .
[15] Timothy L. Crawford,et al. THE BAT-PROBE: THE ULTIMATE TOOL TO MEASURE TURBULENCE FROM ANY KIND OF AIRCRAFT (OR SAILPLANE) , 1999 .
[16] N. Lamouroux,et al. Fish habitat preferences in large streams of southern France , 1999 .
[17] Michael Sfakiotakis,et al. Review of fish swimming modes for aquatic locomotion , 1999 .
[18] S. M. Smith,et al. Enhancement of the inertial navigation system for the Morpheus autonomous underwater vehicles , 2001 .
[19] S. Coombs,et al. The orienting response of Lake Michigan mottled sculpin is mediated by canal neuromasts. , 2001, The Journal of experimental biology.
[20] Jack Chen,et al. Institute of Physics Publishing Journal of Micromechanics and Microengineering Design and Fabrication of Artificial Lateral Line Flow Sensors 1. Underwater Flow Sensing , 2022 .
[21] M. Dijkstra,et al. Fabrication of arrays of artificial hairs for complex flow pattern recognition , 2003, Proceedings of IEEE Sensors 2003 (IEEE Cat. No.03CH37498).
[22] Pere Ridao,et al. Vision-based localization of an underwater robot in a structured environment , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).
[23] E. Hassan,et al. Studies on the effects of Ca2++ and Co++ on the swimming behavior of the blind Mexican cave fish , 1992, Journal of Comparative Physiology A.
[24] David M. Fratantoni,et al. UNDERWATER GLIDERS FOR OCEAN RESEARCH , 2004 .
[25] Bjørn Jalving,et al. DVL Velocity Aiding in the HUGIN 1000 Integrated Inertial Navigation System , 2004 .
[26] H. Thomas,et al. Performance of an AUV navigation system at Arctic latitudes , 2005, IEEE Journal of Oceanic Engineering.
[27] Wolfram Burgard,et al. Robust vision-based localization by combining an image-retrieval system with Monte Carlo localization , 2005, IEEE Transactions on Robotics.
[28] Douglas L. Jones,et al. Distant touch hydrodynamic imaging with an artificial lateral line , 2006, Proceedings of the National Academy of Sciences.
[29] J. Engel,et al. DEVELOPMENT AND CHARACTERIZATION OF HIGH-SENSITIVITY BIOINSPIRED ARTIFICIAL HAIRCELL SENSOR , 2006 .
[30] Phillip J. Wyss,et al. An Airborne and Wind Tunnel Evaluation of a Wind Turbulence Measurement System for Aircraft-Based Flux Measurements* , 2006 .
[31] N. Jones,et al. Evaluation of AUV‐based ADCP measurements , 2006 .
[32] J. Engel,et al. Artificial Lateral Line And Hydrodynamic Object Tracking , 2006, 19th IEEE International Conference on Micro Electro Mechanical Systems.
[33] Douglas L. Jones,et al. Multisensor Processing Algorithms for Underwater Dipole Localization and Tracking Using MEMS Artificial Lateral-Line Sensors , 2006, EURASIP J. Adv. Signal Process..
[34] J. Crimaldi,et al. The accuracy of acoustic Doppler velocimetry measurements in turbulent boundary layer flows over a smooth bed , 2007 .
[35] J. Engel,et al. From artificial hair cell sensor to artificial lateral line system: Development and application , 2007, 2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS).
[36] Takuma Suzuki,et al. Noise of Acoustic Doppler Velocimeter Data in Bubbly Flows , 2007 .
[37] A. Roy,et al. Measuring water velocity in highly turbulent flows: field tests of an electromagnetic current meter (ECM) and an acoustic Doppler velocimeter (ADV) , 2007 .
[38] M. Kabacinski,et al. Numerical and experimental research on new cross-sections of averaging Pitot tubes , 2008 .
[39] Einar Berglund,et al. Doppler water-track aided inertial navigation for autonomous underwater vehicle , 2009, OCEANS 2009-EUROPE.
[40] Franz S. Hover,et al. Development and Application of Distributed MEMS Pressure Sensor Array for AUV object Avoidance , 2009 .
[41] Shane P. Windsor,et al. The influence of viscous hydrodynamics on the fish lateral-line system. , 2009, Integrative and comparative biology.
[42] G. Krijnen,et al. Engineering of biomimetic hair-flow sensor arrays dedicated to high-resolution flow field measurements , 2010, 2010 IEEE Sensors.
[43] D. Coughlin,et al. Rainbow trout Oncorhynchus mykiss consume less energy when swimming near obstructions. , 2010, Journal of fish biology.
[44] Douglas L. Jones,et al. Artificial lateral line with biomimetic neuromasts to emulate fish sensing , 2010, Bioinspiration & biomimetics.
[45] Vicente I Fernandez,et al. Performance analysis for lateral-line-inspired sensor arrays , 2011 .
[46] Erik Maehle,et al. Sonar-based FastSLAM in an underwater environment using walls as features , 2011, 2011 15th International Conference on Advanced Robotics (ICAR).
[47] Maarja Kruusmaa,et al. Swimming speed control and on-board flow sensing of an artificial trout , 2011, 2011 IEEE International Conference on Robotics and Automation.
[48] Jeffrey H. Lang,et al. Lateral-line inspired sensor arrays for navigation and object identification , 2011 .
[49] H. Bleckmann,et al. Determination of object position, vortex shedding frequency and flow velocity using artificial lateral line canals , 2011, Beilstein journal of nanotechnology.
[50] Douglas L. Jones,et al. Flow Vision for Autonomous Underwater Vehicles via an Artificial Lateral Line , 2011, EURASIP J. Adv. Signal Process..
[51] Xiaobo Tan,et al. Underwater source localization using an IPMC-based artificial lateral line , 2011, 2011 IEEE International Conference on Robotics and Automation.
[52] M. T. Ferreira,et al. Effects of water velocity and turbulence on the behaviour of Iberian barbel (Luciobarbus bocagei, Steindachner 1864) in an experimental pool‐type fishway , 2011 .
[53] M. T. Ferreira,et al. Ecohydraulics of pool-type fishways: Getting past the barriers , 2012 .
[54] Michael S. Triantafyllou,et al. A flexible liquid crystal polymer MEMS pressure sensor array for fish-like underwater sensing , 2012 .
[55] Xiaobo Tan,et al. An artificial lateral line system using IPMC sensor arrays , 2012 .
[56] Maarja Kruusmaa,et al. Sensing oscillations in unsteady flow for better robotic swimming efficiency , 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[57] M. Triantafyllou,et al. Bio-inspired pressure sensing for active yaw control of underwater vehicles , 2012, 2012 Oceans.
[58] Maarja Kruusmaa,et al. Hydrodynamic pressure sensing with an artificial lateral line in steady and unsteady flows , 2012, Bioinspiration & biomimetics.
[59] Maarja Kruusmaa,et al. Against the flow: A Braitenberg controller for a fish robot , 2012, 2012 IEEE International Conference on Robotics and Automation.
[60] Maarja Kruusmaa,et al. Pressure Sensitive Lateral Line for Underwater Robot , 2013 .
[61] Maarja Kruusmaa,et al. Flow-relative control of an underwater robot , 2013, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[62] M. McHenry,et al. The Biophysics of the Fish Lateral Line , 2013 .
[63] Eduard Vidal,et al. Sparus II, design of a lightweight hovering AUV , 2013 .
[64] M. T. Ferreira,et al. Use of electromyogram telemetry to assess the behavior of the Iberian barbel (Luciobarbus bocagei Steindachner, 1864) in a pool-type fishway , 2013 .
[65] Paolo Fiorini,et al. Self-motion effects on hydrodynamic pressure sensing: part I. Forward–backward motion , 2013, Bioinspiration & biomimetics.
[66] Lily D. Chambers,et al. A fish perspective: detecting flow features while moving using an artificial lateral line in steady and unsteady flow , 2014, Journal of The Royal Society Interface.
[67] Sajad Saeedi,et al. AUV Navigation and Localization: A Review , 2014, IEEE Journal of Oceanic Engineering.
[68] Guangming Xie,et al. Speed estimation for robotic fish based on pressure sensor , 2014, The 26th Chinese Control and Decision Conference (2014 CCDC).
[69] Maarja Kruusmaa,et al. Design principle of a biomimetic underwater robot U-CAT , 2014, 2014 Oceans - St. John's.
[70] Guangming Xie,et al. Sensing the neighboring robot by the artificial lateral line of a bio-inspired robotic fish , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[71] Hong Lei,et al. Distributed flow estimation and closed-loop control of an underwater vehicle with a multi-modal artificial lateral line , 2015, Bioinspiration & biomimetics.
[72] Guangming Xie,et al. Speed estimation for robotic fish using onboard artificial lateral line and inertial measurement unit , 2015, 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[73] Maarja Kruusmaa,et al. Flow-Sensitive Robotic Fish: From Concept to Experiments. Voolutundlik robotkala: ideest katsetusteni , 2015 .
[74] Maarja Kruusmaa,et al. Current velocity estimation using a lateral line probe , 2015 .
[75] Joni-Kristian Kämäräinen,et al. Flow feature extraction for underwater robot localization: Preliminary results , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[76] Joni-Kristian Kämäräinen,et al. Joint Estimation of Bulk Flow Velocity and Angle Using a Lateral Line Probe , 2016, IEEE Transactions on Instrumentation and Measurement.
[77] Guangming Xie,et al. Speed evaluation of a freely swimming robotic fish with an artificial lateral line , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[78] G. Lauder,et al. Fish optimize sensing and respiration during undulatory swimming , 2016, Nature Communications.
[79] Maarja Kruusmaa,et al. Underwater vehicle speedometry using differential pressure sensors: Preliminary results , 2016, 2016 IEEE/OES Autonomous Underwater Vehicles (AUV).
[80] J. Kämäräinen,et al. Design and application of a fish-shaped lateral line probe for flow measurement. , 2016, The Review of scientific instruments.
[81] Erin M. Fischell,et al. Design of a general autonomy payload for low-cost AUV R&D , 2016, 2016 IEEE/OES Autonomous Underwater Vehicles (AUV).
[82] Pere Ridao,et al. Toward Autonomous Exploration in Confined Underwater Environments , 2016, J. Field Robotics.
[83] Maarja Kruusmaa,et al. Map-based localization in structured underwater environment using simulated hydrodynamic maps and an artificial lateral line , 2017, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO).
[84] G. Xie,et al. Artificial lateral line based local sensing between two adjacent robotic fish , 2017, Bioinspiration & biomimetics.
[85] Kamran Mohseni,et al. A Pressure Sensory System Inspired by the Fish Lateral Line: Hydrodynamic Force Estimation and Wall Detection , 2017, IEEE Journal of Oceanic Engineering.
[86] Ke Chen,et al. Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression , 2017, IEEE Transactions on Instrumentation and Measurement.
[87] Kamran Mohseni,et al. An artificial fish lateral line sensory system composed of modular pressure sensor blocks , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[88] Kamran Mohseni,et al. Design of a 3-D Printed, Modular Lateral Line Sensory System for Hydrodynamic Force Estimation , 2017 .
[89] Maarja Kruusmaa,et al. Underwater map-based localization using flow features , 2017, Auton. Robots.
[90] Ana L. Quaresma,et al. Passage performance of two cyprinids with different ecological traits in a fishway with distinct vertical slot configurations , 2017 .
[91] Yong Zhang,et al. A fish-shaped minimal prototype of lateral line system based on pressure sensing , 2017, 2017 IEEE International Conference on Mechatronics and Automation (ICMA).
[92] Jianhua Wang,et al. Hydrodynamic analysis with an artificial lateral line of robotic fish , 2017, 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).
[93] Maarja Kruusmaa,et al. Flow velocity estimation using a fish-shaped lateral line probe with product-moment correlation features and a neural network , 2017 .
[94] M. T. Ferreira,et al. Spatial preferences of Iberian barbel in a vertical slot fishway under variable hydrodynamic scenarios , 2018, Ecological Engineering.
[95] Maarja Kruusmaa,et al. 3D modelling of non-uniform and turbulent flow in vertical slot fishways , 2018, Environ. Model. Softw..
[96] Ying Liu,et al. Underwater Positioning Based on an Artificial Lateral Line and a Generalized Regression Neural Network , 2018, Journal of Bionic Engineering.
[97] Reza Malekian,et al. Research on Flow Field Perception Based on Artificial Lateral Line Sensor System , 2018, Sensors.
[98] Richard Schwarzenberger,et al. Man-made flows from a fish’s perspective: autonomous classification of turbulent fishway flows with field data collected using an artificial lateral line , 2018, Bioinspiration & biomimetics.
[99] M. Kruusmaa,et al. Differential Pressure Sensors for Underwater Speedometry in Variable Velocity and Acceleration Conditions , 2018, IEEE Journal of Oceanic Engineering.
[100] Martin Schletterer,et al. Hydroacoustic and Pressure Turbulence Analysis for the Assessment of Fish Presence and Behavior Upstream of a Vertical Trash Rack at a Run-of-River Hydropower Plant , 2018, Applied Sciences.
[101] Maarja Kruusmaa,et al. Map-based localization and loop-closure detection from a moving underwater platform using flow features , 2018, Auton. Robots.
[102] M. Kruusmaa,et al. Hydraulics of Vertical-Slot Fishways: Nonuniform Profiles , 2019, Journal of Hydraulic Engineering.
[103] Dongbing Gu,et al. Autonomous Optimization of Swimming Gait in a Fish Robot With Multiple Onboard Sensors , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[104] A. Pinheiro,et al. Fish under pressure: Examining behavioural responses of Iberian barbel under simulated hydropeaking with instream structures , 2019, PloS one.
[105] D. Raible,et al. The Mechanosensory Lateral Line System , 2020 .
[106] D. S. B A R R E T T,et al. Drag reduction in fish-like locomotion , 2022 .